{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KTWZ6UEOBVPTXEKN3FFK7FE4ZV","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b40b9ec25b706e4d91c35ad580850e7354508dc40ee7fc9da6fad613affc65c7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2023-08-04T21:06:26Z","title_canon_sha256":"f86babc4fd28ee66c6b339f383b3045f0fac865d31ef3ea8f8d5a5d1a60a984e"},"schema_version":"1.0","source":{"id":"2308.02710","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.02710","created_at":"2026-07-05T06:38:06Z"},{"alias_kind":"arxiv_version","alias_value":"2308.02710v1","created_at":"2026-07-05T06:38:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.02710","created_at":"2026-07-05T06:38:06Z"},{"alias_kind":"pith_short_12","alias_value":"KTWZ6UEOBVPT","created_at":"2026-07-05T06:38:06Z"},{"alias_kind":"pith_short_16","alias_value":"KTWZ6UEOBVPTXEKN","created_at":"2026-07-05T06:38:06Z"},{"alias_kind":"pith_short_8","alias_value":"KTWZ6UEO","created_at":"2026-07-05T06:38:06Z"}],"graph_snapshots":[{"event_id":"sha256:2aa95fe22e63c41975d0ecd1967f450096bb765c59984517c6f1471023a33236","target":"graph","created_at":"2026-07-05T06:38:06Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2308.02710/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning has rapidly evolved during the last decade, achieving expert human performance on notoriously challenging problems such as image classification. This success is partly due to the re-emergence of bio-inspired modern artificial neural networks (ANNs) along with the availability of computation power, vast labelled data and ingenious human-based expert knowledge as well as optimisation approaches that can find the correct configuration (and weights) for these networks. Neuroevolution is a term used for the latter when employing evolutionary algorithms. Most of the works in neuroev","authors_text":"Edgar Galv\\'an, Fergal Stapleton","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2023-08-04T21:06:26Z","title":"Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.02710","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4400b756148f7515657fe447b8822f0f58c6498bd969c4541e7a1d08ccc57a3d","target":"record","created_at":"2026-07-05T06:38:06Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b40b9ec25b706e4d91c35ad580850e7354508dc40ee7fc9da6fad613affc65c7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2023-08-04T21:06:26Z","title_canon_sha256":"f86babc4fd28ee66c6b339f383b3045f0fac865d31ef3ea8f8d5a5d1a60a984e"},"schema_version":"1.0","source":{"id":"2308.02710","kind":"arxiv","version":1}},"canonical_sha256":"54ed9f508e0d5f3b914dd94aaf949ccd78f8f33cf8bd81682bce66afa443ccd5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54ed9f508e0d5f3b914dd94aaf949ccd78f8f33cf8bd81682bce66afa443ccd5","first_computed_at":"2026-07-05T06:38:06.364015Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:38:06.364015Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QyASOhTpbthP5TazYTjHKWGEohf8tgfeuLOiYzR0jEmWKXnu0pkJdv8O5pPpY7soLwbEfOiLy11rsA4IBOc0Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:38:06.364360Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.02710","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4400b756148f7515657fe447b8822f0f58c6498bd969c4541e7a1d08ccc57a3d","sha256:2aa95fe22e63c41975d0ecd1967f450096bb765c59984517c6f1471023a33236"],"state_sha256":"385992a90e57b2d91b235c00d84b78c00c0db8e0a94ec92714c82800eb92323b"}